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Envisioning the driverless city using backcasting and Q-methodology

https://doi.org/10.1016/j.cities.2022.104159

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Automated vehicles and how they may affect urban form: A review of recent scenario studies

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Automated vehicles and the city of tomorrow: A backcasting approach

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Planning the transition to autonomous driving: A policy pathway towards urban liveability

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Pluralistic backcasting: Integrating multiple visions with policy packages for transport climate policy

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Parking futures: Preparing European cities for the advent of automated vehicles

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New urban planning challenges under emerging autonomous mobility: evaluating backcasting scenarios and policies through an expert survey

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Backcasting for sustainability: Introduction to the special issue

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Constructing a Vision for an ‘Ideal’ Future City: A Conceptual Model for Transformative Urban Planning

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Handle with Care: The Deadly Hermeneutics of Deliberative Instrumentation

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Northern Visions? Applying Q methodology to understand stakeholder views on the environmental and resource dimensions of sustainability

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Building Blocks for Sustainable Transport: Obstacles, Trends, Solutions

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An Introduction to Q Methodology, a Research Technique

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The expected speed and impacts of vehicle automation in passenger and freight transport: A Dissensus Delphi study among UK professionals

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Why do citizens not prefer to use e-scooters? Views of the public in the Netherlands

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A citizen perspective on designing driverless streets

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Shared Mobility's Role in Sustainable Mobility: Past, Present, and Future

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Risk Management for the Safe Use of Highly Automated Vehicles in a Metropolis: Systems and Legal Analysis

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Anticipated Transport Choices in a World Featuring Autonomous Transport Options

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Connected and Automated Vehicles: Infrastructure, Applications, Security, Critical Challenges, and Future Aspects

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Backcasting Analysis of Autonomous Vehicle Implementation: A Systematic Review

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